homomorphic-filter

Region Growing by Dirk-Jan Kroon

小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions) (Wavelet neural network source code: 1. Construction of the nonlinear function: at nninit_test.m 2. Wnn the direct use of nonlinear approximation: Wnn_test.m, (internal call wavelet function) 3. Genetic algorithm optimized approximation: GA_Wnn_test. m (internal call genetic algorithms, initialization, fitness, decoding function)-genetic algorithm optimization WNN source: 1. Construction of the nonlinear function: nninit_test.m at 2. WNN directly with nonlinear approximation: Wnn_test.m. ( internal called wavelet function) 3. Genetic Algorithm optimization approach: GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions))

ofdm sltlet in fading channel

国际经典教材Optimum Array Processing中例子程序，例子最全的MATLAB代码。既适合初学者，也适合科研人员迅速找到解决办法。(Optimum Array Processing example MATLAB code)

说明：  实现卡尔曼滤波，可以看出，滤波过程是以不断地“预测—修正”的递推方式进行计算，先进行预测值计算，再根据观测值得到的新信息和kalman 增益（加权项），对预测值进行修正。由滤波值可以得到预测，又由预测可以得到滤波，其滤波和预测相互作用，并不要求存储任何观测数据，可以进行实时处理。(Kalman filtering, can be seen, the filtering process is constantly &quot forecast- Fixed&quot recursive manner calculated to predict the value of the first, and then according to the new information should be observed and the kalman gain (weighted items), on predictive value of the amendment. Value can be predicted by the filter, but also can be filtered by the forecast, and its interaction filtering and prediction, does not require the storage of any observational data, real-time processing.)

用HOUGH检测直线的时候是两个未知量,因为轴半径和相角可以确定一条直 线，在HOUGH域出现累计最大点就可能是原域中的直线。现在回到圆的检测 上来，确定一个圆需要什么：X坐标，Y坐标，半径三个未知量吧，好了，现在， 你做一个三维空间的HOUGH域，以这三个未知量作为三个轴，现在按照一定步长 进行三重循环，在最内层循环是这样的，X,Y 确定，以不同的半径进行搜索，如 果你的X,Y刚好就是实际图像的X,Y处，半径又搜索到实际真实的半径(The HOUGH detect straight when two unknown amount of axis radius and phase angle can be determined in a straight line, in the HOUGH domain cumulative maximum point may be the straight line of the original domain. Now back to the circle detection up to determine what a circle: X coordinate, Y coordinate, radius three unknowns, now, you do the HOUGH domain of a three-dimensional space, three to three unknown quantity as axis, in accordance with a certain step size triple loop, is such that in the innermost loop, X, and Y determined search for a different radius, If you X, Y, exactly is the actual image of the X, Y, at the radius radius of the search to the actual real)

Distribution System Reconfiguration

一个粒子滤波简单的例子。运行方法：解压之后，放到工作目录，运行PF_ex1.m(a simple example of particle filter.)

詳盡的Matlab教學參考資料, 適合Matleb初學者使用.(Matlab detailed teaching reference, suitable for beginners to use Matleb.)

Simulation of three phase fully controlled rectifier